44 lines
1.6 KiB
Bash
Executable File
44 lines
1.6 KiB
Bash
Executable File
#!/bin/bash
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set -e
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# Build the docker image.
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docker build -f docker/Dockerfile.tpu -t vllm-tpu .
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# Set up cleanup.
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remove_docker_container() { docker rm -f tpu-test || true; }
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trap remove_docker_container EXIT
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# Remove the container that might not be cleaned up in the previous run.
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remove_docker_container
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# For HF_TOKEN.
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source /etc/environment
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# Run a simple end-to-end example.
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docker run --privileged --net host --shm-size=16G -it \
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-e "HF_TOKEN=$HF_TOKEN" --name tpu-test \
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vllm-tpu /bin/bash -c "python3 -m pip install git+https://github.com/thuml/depyf.git \
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&& python3 -m pip install pytest \
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&& python3 -m pip install lm_eval[api]==0.4.4 \
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&& export VLLM_USE_V1=1 \
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&& export VLLM_XLA_CHECK_RECOMPILATION=1 \
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&& echo TEST_0 \
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&& pytest -v -s /workspace/vllm/tests/v1/tpu/test_perf.py \
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&& echo TEST_1 \
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&& pytest -v -s /workspace/vllm/tests/tpu/test_compilation.py \
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&& echo TEST_2 \
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&& pytest -v -s /workspace/vllm/tests/v1/tpu/test_basic.py \
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&& echo TEST_3 \
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&& pytest -v -s /workspace/vllm/tests/entrypoints/llm/test_accuracy.py::test_lm_eval_accuracy_v1_engine \
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&& echo TEST_4 \
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&& pytest -s -v /workspace/vllm/tests/tpu/test_quantization_accuracy.py \
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&& echo TEST_5 \
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&& python3 /workspace/vllm/examples/offline_inference/tpu.py \
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&& echo TEST_6 \
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&& pytest -s -v /workspace/vllm/tests/v1/tpu/worker/test_tpu_model_runner.py \
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&& echo TEST_7 \
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&& pytest -s -v /workspace/vllm/tests/v1/tpu/test_sampler.py" \
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# TODO: This test fails because it uses RANDOM_SEED sampling
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# && VLLM_USE_V1=1 pytest -v -s /workspace/vllm/tests/tpu/test_custom_dispatcher.py \
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